Understanding the Drivers of Cloud-Based Service Adoption and Their Impact on the Organizational Performance: An Indian Perspective

被引:8
|
作者
Lal, Prerna [1 ]
Bharadwaj, Sangeeta Shah [2 ]
机构
[1] Int Management Inst New Delhi, Informat Management Area, New Delhi, India
[2] Management Dev Inst Gurgaon, Informat Management Area, Gurgaon, India
关键词
Adoption; Balanced Scorecard Model; Cloud Computing; Organizational Performance; Technology Adoption; TECHNOLOGY ACCEPTANCE MODEL; INFORMATION-TECHNOLOGY; BALANCED SCORECARD; COMPUTING ADOPTION; PERCEIVED USEFULNESS; COMMERCE ADOPTION; FIRM PERFORMANCE; SAAS ADOPTION; RFID ADOPTION; DETERMINANTS;
D O I
10.4018/JGIM.2020010104
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
This study aims to understand the drivers of cloud-based services (CBS) adoption and its impact on the performance of Indian organizations. The conceptual model was developed using diffusion of innovation theory, technology-organization-environment framework, transaction cost economics, technology acceptance model, and balanced scorecard model. This quantitative study collected data from IT experts of 334 Indian organizations using questionnaire survey method. Data analysis using structural equation modelling reveals that among six identified drivers, credibility of cloud service provider has the strongest impact on the decision to adopt CBS, followed by top management attitude, economic flexibility, perceived usefulness, and relative advantage. While perceived ease of use of the CBS was found statistically not significant. Conversely, the impact of CBS adoption was found strongest on the financial performance of the organizations. Further, CBS's adoption drivers and their impact on performance vary significantly on the basis of age and size of the organizations.
引用
收藏
页码:56 / 85
页数:30
相关论文
共 50 条
  • [1] Understanding the impact of cloud-based services adoption on organizational flexibility An exploratory study
    Lal, Prerna
    Bharadwaj, Sangeeta Shah
    [J]. JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT, 2016, 29 (04) : 566 - 588
  • [2] Understanding Cloud ERP Adoption Phenomenon: Large Organizational Perspective
    Ahmed, Rumana
    Rahim, Mahbubur
    Oliver, Gillian
    [J]. AMCIS 2020 PROCEEDINGS, 2020,
  • [3] A Model for Successful Adoption of Cloud-based Services in Indian SMEs
    Sandu, Nitirajsingh
    Gide, Ergun
    [J]. 2019 7TH INTERNATIONAL CONFERENCE ON FUTURE INTERNET OF THINGS AND CLOUD (FICLOUD 2019), 2019, : 169 - 174
  • [4] The impact of cloud-based information technology in improving organizational performance in the banking industry
    Khamesi, Seyedeh Maryam Seyed
    HoushangTajfr, Amir
    [J]. INTERNATIONAL JOURNAL OF ADVANCED BIOTECHNOLOGY AND RESEARCH, 2016, 7 : 388 - 399
  • [5] Exploring the Impact of Cloud Computing Adoption on Organizational Flexibility: A Client Perspective
    Bharadwaj, Sangeeta Shah
    Lal, Prerna
    [J]. 2012 INTERNATIONAL CONFERENCE ON CLOUD COMPUTING TECHNOLOGIES, APPLICATIONS AND MANAGEMENT (ICCCTAM), 2012, : 121 - 131
  • [6] Trust in Cloud-Based Services: A Framework for Consumer Adoption of Software as a Service
    Lee, Lorraine S.
    Brink, William D.
    [J]. JOURNAL OF INFORMATION SYSTEMS, 2020, 34 (02) : 65 - 85
  • [7] An exploratory performance on the determinants of cloud-based E-learning adoption by ICT professionals: A Nigerian perspective
    Tom, Abubakar Magira
    Virgiyanti, Wiwied
    Rozaini, Wan
    [J]. Test Engineering and Management, 2019, 81 (11-12): : 5904 - 5912
  • [8] Understanding the drivers of organizational business performance from the human capital perspective
    Serenko, Alexander
    Abubakar, A. Mohammed
    Bontis, Nick
    [J]. KNOWLEDGE AND PROCESS MANAGEMENT, 2024, 31 (01) : 48 - 59
  • [9] Cloud-Based CAPTCHA Service
    Shumilov, Artem
    Philippovich, Andrey
    [J]. 2016 6TH INTERNATIONAL CONFERENCE - CLOUD SYSTEM AND BIG DATA ENGINEERING (CONFLUENCE), 2016, : 115 - 118
  • [10] Experimental Performance Evaluation of Cloud-Based Analytics-as-a-Service
    Pace, Francesco
    Milanesio, Marco
    Venzano, Daniele
    Carra, Damian
    Michiardi, Pietro
    [J]. PROCEEDINGS OF 2016 IEEE 9TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (CLOUD), 2016, : 196 - 203